head to head · open source
langchain vs code2prompt
langchain has 148,892 GitHub stars, 25,031 forks, 492 open issues and last shipped yesterday. code2prompt has 7,745 stars, 459 forks, 16 open issues and last shipped 4 days ago. langchain leads on adoption by 1,822% (148,892 vs 7,745 stars). langchain is written in Python under MIT; code2prompt is written in Rust under MIT. langchain has attracted 17% as many forks as stars, code2prompt 6%. langchain was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (ai, chatgpt), so they are genuine substitutes rather than adjacent tools.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| langchain | code2prompt | |
|---|---|---|
| GitHub stars | ★ 149K | ★ 7.7K |
| License | MIT | MIT |
| Written in | Python | Rust |
| Last push | 2026-11-02 | 2026-10-30 |
| Forks | ⑂ 25K | ⑂ 459 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick langchain if
- You weight community size — 149K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick code2prompt if
- You want the code2prompt feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Rust
- You evaluated both and code2prompt fits your workflow better
About langchain
The agent engineering platform. LangChain is a framework for building agents and LLM powered applications. It helps you chain together interoperable components and third party integrations to simplify AI application development — all while future proofing decisions as the underlying technology evolves. [!TIP] Just getting started? Check out Deep Agents — a higher level package built on LangChain for agents that have built in capabilities for common usage patterns such as planning, subagents, file system usage, and more. Quickstart If you're looking for more advanced customization or agent orchestration, check…
read the full langchain overview →
About code2prompt
Convert your codebase into a single LLM prompt. Website • Documentation • Discord Code2Prompt is a powerful context engineering tool designed to ingest codebases and format them for Large Language Models. Whether you are manually copying context for ChatGPT, building AI agents via Python, or running a MCP server, Code2Prompt streamlines the context preparation process. ⚡ Quick Install Cargo To enable optional Wayland support (e.g., for clipboard integration on Wayland based systems), use the wayland feature flag: Homebrew SDK with pip 🐍 🚀 Quick Start Once installed, generating a prompt from your codebase is as…
read the full code2prompt overview →
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Frequently asked questions
Is langchain or code2prompt more popular?
langchain has 148,892 GitHub stars and code2prompt has 7,745. langchain has the larger community by that measure.
Are langchain and code2prompt free?
Both are open source. langchain is licensed under MIT and code2prompt under MIT. Neither carries a licence fee.
What is the difference between langchain and code2prompt?
langchain is written in Python and code2prompt in Rust. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, langchain or code2prompt?
Choose langchain if you want the larger community (148,892 stars) or its MIT licence terms. Choose code2prompt if its feature set, stack or MIT licence fits better. Both are self-hostable.